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| Presentation | 2019-01-24 16:10 A Routing Algorithm using machine learning for Wireless Mesh Networks Genki Komuro, Hiroyuki Suzuki, Akio Koyama (Yamagata University)  SR2018-107 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In recent years, attention has been focused on a Wireless Mesh Networks (WMN) that can expand a wireless area with the spread of wireless terminals. Routing that determines the route to be used at the time of communication is largely influenced by the performance of the WMN, but existing routing protocols do not take into account the performance deterioration of the route by changing of traffic and wireless environment after the route is constructed. In this paper, we propose a route reconstruction method which detects performance degradation of the route and makes the route reconstruction. In this method, a destination node monitors the performance of routes, and reconstructs the routes when degradation is detected based on criterion selected by machine learning. By performance evaluation, we show the effectiveness of the proposed method by comparison with the conventional method. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | WMN(Wireless Mesh Networks) / Machine Learning / Reinforcement Learning / Routing Algorithm / Performance Degradation / Route Reconstruction / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 421, SR2018-107, pp. 71-77, Jan. 2019. | |
| Paper # | SR2018-107 | |
| Date of Issue | 2019-01-17 (SR) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | SR2018-107 |
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| Conference Information | |
| Committee | SR |
| Conference Date | 2019-01-24 - 2019-01-25 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Corasse, Fukushima city (Fukushima prefecture) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | cognitive radio, machine learning application, heterogeneous network, SDN, IoT etc. |
| Paper Information | |
| Registration To | SR |
| Conference Code | 2019-01-SR |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Routing Algorithm using machine learning for Wireless Mesh Networks |
| Sub Title (in English) | |
| Keyword(1) | WMN(Wireless Mesh Networks) |
| Keyword(2) | Machine Learning |
| Keyword(3) | Reinforcement Learning |
| Keyword(4) | Routing Algorithm |
| Keyword(5) | Performance Degradation |
| Keyword(6) | Route Reconstruction |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Genki Komuro |
| 1st Author's Affiliation | Yamagata University (Yamagata University) |
| 2nd Author's Name | Hiroyuki Suzuki |
| 2nd Author's Affiliation | Yamagata University (Yamagata University) |
| 3rd Author's Name | Akio Koyama |
| 3rd Author's Affiliation | Yamagata University (Yamagata University) |
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| Speaker | Author-1 |
| Date Time | 2019-01-24 16:10:00 |
| Presentation Time | 25 minutes |
| Registration for | SR |
| Paper # | SR2018-107 |
| Volume (vol) | vol.118 |
| Number (no) | no.421 |
| Page | pp.71-77 |
| #Pages | 7 |
| Date of Issue | 2019-01-17 (SR) |
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